A nonparametric method for value function guided subgroup identification via gradient tree boosting for censored survival data

In randomized clinical trials with survival outcome, there has been an increasing interest in subgroup identification based on baseline genomic, proteomic markers, or clinical characteristics. Some of the existing methods identify subgroups that benefit substantially from the experimental treatment...

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Veröffentlicht in:	Statistics in medicine 2020-12, Vol.39 (28), p.4133-4146
Hauptverfasser:	Zhang, Pingye, Ma, Junshui, Chen, Xinqun, Shentu, Yue
Format:	Artikel
Sprache:	eng
Schlagworte:	censored survival data Clinical outcomes Clinical trials gradient tree boosting Medical statistics Medical treatment nonparametric Nonparametric statistics personalized medicine Precision medicine restricted mean survival time Statistical methods subgroup identification Survival analysis
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